AI Visibility
measured25/100
Emerging · in Software Marketplace
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
7
across 295 prompts
AI Share of Voice
7%
across 295 prompts
Critical Issues
4
critical + high
Shortlist Position
0/80
Not Visible · Business Intelligence Discovery
How AI Visibility breaks down
in Software Marketplace
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Categories sellerboard is visible in
2Your visibility gap
sellerboard surfaces in 0/80 Business Intelligence discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
Sellerboard is a B2B SaaS profit analytics platform for e-commerce/Amazon sellers, and it already has meaningful third-party review visibility (G2 + TrustRadius + Capterra). The biggest reason it’s not getting cited for “best business intelligence software/solutions” discovery queries is category mismatch + missing evaluation content for those buyer intents (small business/SaaS/enterprise/healthcare/retail/marketing forecasting), not a total lack of crawlability—your highest-ROI fix is to publish first-party, evaluation-ready “Business Intelligence for [industry/use case]” pages that explicitly map to those gap queries and include FAQ-style answers.
Based on audit of sellerboard.com · Sep 1, 2026